Course Overview
Data Labeling & Annotation for AI Projects
Duration: 15 Days
Data Labeling & Annotation for AI Projects is a practical training program designed to teach students how high-quality labeled data is essential for building accurate artificial intelligence and machine learning models. In most AI systems, data must be properly labeled so that algorithms can learn patterns and make predictions.
This 15-day course introduces students to the fundamentals of data labeling and annotation processes used in AI development. Participants will learn how images, text, audio, and video data are labeled to train machine learning and computer vision models.
During the program, students will explore manual data labeling techniques as well as AI-assisted annotation methods that help speed up the labeling process. The course also introduces industry tools such as Labelbox and CVAT, which are widely used for labeling datasets in AI projects.
Students will learn how labeled datasets are used to train AI systems for tasks such as image recognition, object detection, and natural language processing.
Through practical exercises and real-world examples, participants will gain hands-on experience in preparing high-quality datasets required for successful AI model training.
By the end of the course, students will understand how data annotation works and how labeled data supports the development of accurate AI models.
What You Will Learn
• Fundamentals of data labeling and annotation for AI
• Manual data labeling techniques for datasets
• AI-assisted annotation methods for faster labeling
• Image and object annotation for computer vision projects
• Text annotation for natural language processing tasks
• Using tools like Labelbox and CVAT
• Preparing high-quality datasets for AI model training
Final Project
Image Dataset Annotation for Object Detection
or
Text Dataset Labeling for AI Language Models
Who This Course Is For
• School and college students interested in AI and data science
• Students exploring careers in machine learning and AI development
• Beginners who want to learn how AI datasets are prepared
• Technology enthusiasts interested in AI project workflows
Why Choose This Course
• Learn the essential foundation of AI model training
• Hands-on training with industry annotation tools
• Practical understanding of dataset preparation
• Project-based learning approach
• Certification upon completion
Requirements
- Basic Computer Knowledge
- Interest in AI & Data Science
- Laptop / Computer with Internet
Anu
The practical exercises made it easy to understand data annotation. I learned how images and text are labeled for AI projects.